Bio:

Dean Abbott is Chief Data Scientist for Abbott Analytics. Mr. Abbott is an internationally recognized thought leader and innovator in data science and machine learning, with nearly four decades of experience solving problems in a wide range of vertical markets, including fraud detection, customer analytics, and survey analysis for both public and private sector organizations and was the Bodily Bicentennial Professor in Analytics at the University of Virginia Darden School of Business in 2023-2024. He is frequently included in lists of the top pioneering and influential data scientists in the world. Mr. Abbott is the author of Applied Predictive Analytics (Wiley, 2014) and coauthor of The IBM SPSS Modeler Cookbook (Packt Publishing, 2013). He is a popular keynote speaker and bootcamp/workshop instructor at conferences worldwide and serves on advisory boards for the UC/Irvine Predictive Analytics and UC/San Diego Data Science Certificate programs. He holds a bachelor’s degree in computational mathematics from Rensselaer Polytechnic Institute and a master’s degree in applied mathematics from the University of Virginia.